Work place: Department of CS&IT, Moradabad Institute of Technology, Moradabad (U.P), India
E-mail: ahuja2305@rediffmail.com
Website:
Research Interests: Image Compression, Image Manipulation, Image Processing
Biography
Rakesh Ahuja, male, received his B.Tech degree from BIET Jhansi, (U.P) India, M.Tech Degree from Uttar Pradesh Technical University, India. He is currently an Associate Professor at Moradabad Institute of Technology, Moradabad, (U.P) India. He is having 17 years of experience in the area of industrial, academic and administration. He is currently pursuing the Ph.D. degree from IFTM University, (U.P) India majoring in development schemes of image processing. His research interests are Image and Video Watermarking
DOI: https://doi.org/10.5815/ijigsp.2015.12.08, Pub. Date: 8 Nov. 2015
The present review covers the video watermarking literature published from 1997 to the year 2015. Through extensive work, some selection is necessary. Therefore, only articles published by a process of peer review in archival journal are reviewed. Papers are grouped according to the implementation techniques and further divided into sub techniques. Many papers deal with fundamental of digital video watermarking, including experimental, numerical and analytical works. Others are related to application or natural system. In addition to reviewing journal articles, this review also takes papers of good conferences and meeting on video watermarking. The main aim of authors is to provide every details regarding digital video watermarking under an umbrella. In other words all aspects of video watermarking are placed together in order to helpful to those readers looking the complete literature related to video watermarking scheme.
[...] Read more.By Himanshu Agarwal Rakesh Ahuja S.S.Bedi
DOI: https://doi.org/10.5815/ijigsp.2012.11.07, Pub. Date: 8 Oct. 2012
In this paper a hybrid digital video watermarking scheme based on discrete wavelet transform and singular value decomposition is proposed. Unlike the most existing watermarking schemes, the used watermark is a gray scale image instead of a binary watermark. The watermark is embedded in the original video frames by first converted it into YCbCr color space and than decomposing the luminance part (Y component) into four sub-bands using discrete wavelet transform and finally the singular values of LL sub-band are shaped perceptually by singular values of watermark image. The experimental result shows a tradeoff between imperceptibility and resiliency against intentional attacks such as rotation, cropping, histogram stretching, JPEG compression on individual frames, Indeo5 video compression and unintentional attacks like frame swapping, frame averaging, frame insertion and different types of noise addition. Superiority of the proposed scheme is carried out by comparison with existing schemes to reveal its efficiency for practical applications.
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